ClinicalTrials.gov
public full text
Public Domain
Nano-Learning for Improving Compliance Among Older Adults With Sarcopenia
Empirical evidence suggests that the use of short videos is associated with decreased feelings of loneliness and social isolation, thereby reducing depression among older adults . Platforms that allow users to showcase aspects of their own lives also serve as a significant avenue for achieving "happiness in old age" and enhancing social interactions with acquaintances . Therefore, this study aims to provide robust evidence on the effectiveness of nano-learning interventions, particularly in the context of sarcopenia, where addressing physical and psychological well-being has become increasingly critical among this cohort.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Social and Cognitive Online Training: the SCOT Project#831076
- A Goal-setting With Mentoring Lifestyle Modification Intervention to Reduce Risk of Dementia in Later Life#1072586
- Impact of a Multimodal Lifestyle Intervention on Dementia Risk Factors and Attitude Related to Dementia Risk: A Logistical Pilot Study#160239
- Chronic loneliness and isolation phenotypes and physical and mental health in older adults#1090035
- The Effect of Home Visit Supported Nursing Education Program on Some Parameters in Elderly People Living Alone at Home#865196
Record · ID 1031171
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive